Query Based Face Retrieval From Automatic Reconstructed Images based on 3D Frontal View - Using EICA

Prof. Y.Vijaya Lata; Dr. A. Govardhan

Query Based Face Retrieval From Automatic Reconstructed Images based on 3D Frontal View – Using EICA

Prof. Y.Vijaya Lata * §

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Dr. A. Govardhan

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§ Gokaraju Rangaraju Institute of Engineering and Tech...

Query Based Face Retrieval From Automatic Reconstructed Images based on 3D Frontal View – Using EICA

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Abstract

Face recognition systems have been playing a vital role from several decades. Thus, various algorithms for face recognition are developed for various applications like ‘person identification’, ‘human computer interaction’, ‘security systems’. A framework for face recognition with different poses through face reconstruction is being proposed in this paper. In the present work, the system is trained with only a single frontal face with normal illumination and expression. Instead of capturing the image of a person in different poses using camera or video, different views of the 3D face are reconstructed with the help of a 3D face shape model. This automatically increases the size of the training set. This approach outperforms the present 2D techniques with higher recognition rate. This paper refers to the face detection and recognition approach, which primarily focuses on Enhanced Independent Component Analysis(EICA) for the Query Based Face Retrieval and the implementation is done in Scilab. This method detects the static face(cropped photo as input) and also faces from group picture, and these faces are reconstructed using 3D face shape model. Image preprocessing is used inorder to reduce the error rate when there are illuminated images. Scilab’s SIVP toolbox is used for image analysis.

References

9 Cites in Article

Reference Format

Yuxiao Hu,Dalong Jiang,Shuicheng Yan,Lei Zhang Automatic 3D Reconstruction for Face Recognition.
A Morphable Model For The Synthesis Of 3D Faces.
Matthew Turk,Alex Pentland (1991). Eigenfaces for Recognition.
M Turk,A Pentland (1991). Face recognition using eigenfaces.
L Smith,H Moon,P Phillips (2001). Computational and Performance aspects of PCA-based Face Recognition Algorithms.
Phivos Mylonas,Hermann Hellwagner,Pablo Castells,Manolis Wallace (2008). Signal, image and video processing (SIVP) special issue on “multimedia semantics, adaptation and personalization” Editorial.
Aditya Kelkar Face recognition using Eigenfaces Approach" 10.
Chengjun Liu Enhanced Independent Component Analysis and Its Application to Content Based Face Image Retrieval.
P Cemon (1994). Independent Component Analysis , a new concept signal proceeding.

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Prof. Y.Vijaya Lata, Dr. A. Govardhan. 1970. "Query Based Face Retrieval From Automatic Reconstructed Images based on 3D Frontal View – Using EICA". Global Journal of Computer Science and Technology GJCST Volume 11 (GJCST Volume 11 Issue 8).

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GJCST Volume 11 Issue 8

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

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Classification

GJCST Classification I.4.6

I.5.1

Submission ReceivedApril 4, 2011
Peer Review Double Blind
Handling Editor
Accepted April 25, 2011
Published May 10, 2011

Version of record

v1.2

Issue date

May 7, 2011

Language

English

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Article Matrices

Total Score: 147

Country: India

Subject: Global Journal of Computer Science and Technology

Authors: Prof. Y.Vijaya Lata,Dr. A. Govardhan (PhD/Dr. count: 1)

View Count (all-time): 386

Total Views (Real + Logic): 5901

Total Downloads (simulated): 394

Publish Date: 2011 05, Tue

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Total Views: 5.9K

Total Downloads: 394

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